Sergey Protasov
Quantitative Analyst
Moscow, Moscow City, Russia
Summary
👤
Senior🎓
Top SchoolSergey Protasov is a quantitative analyst and applied mathematician with over a decade of experience building probabilistic language models, statistical MT systems, and large-scale search ranking pipelines. He has driven search quality and A/B experimentation at major Russian tech firms (Yandex, Mail.Ru, Rambler) and currently applies probabilistic models in prediction markets and backend architecture for public-sector digital products. Sergey combines deep academic training (MSc and PhD-level work in applied math and computational linguistics from MIPT) with hands-on engineering—training ML models on hundreds of millions of examples and terabytes of data and running production-grade systems. Notably, his background spans both low-level system reliability (99.9% uptime Linux operations) and advanced EM/maximum-entropy modeling, giving him a rare bridge between infrastructure and statistical research.
10 years of coding experience
13 years of employment as a software developer
Master of Science (MS), Applied Mathematics, Master of Science (MS), Applied Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)
Russian, English
Github Skills (28)
integrate9
django8
django-project8
graphene8
endpoints7
breeze7
python7
graphql6
wagtail5
lgbt4
autosuggest4
autocomplete3
sms2
websocket2
realtime2
Programming languages (2)
Github contributions (5)
protasovse/mlo
Nov 2017 - Dec 2018
Contributions:401 commits in 1 year
protasovse/django-db-mailer
Jan 2018 - Dec 2018
Contributions:17 pushes in 10 months
storedpythonadminpushdjango
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